Skip to main content

Customized and Simplified package for Core Supervised Learning Algorithms

Project description

sketchml: Customized and Simplified package for Core Machine Learning Algorithms

Installation

Create and activate a Python environment, then install the required dependencies.

conda create -n sketchml python=3.10 -y
conda activate sketchml
pip install -r requirements.txt

Or install directly via pip:

pip install sketchml

Note that this package requires Python 3.8 or higher, but it is recommended to use Python 3.10 or higher for the best compatibility and performance.

Usage

The main function to evaluate a Pentagon Copying Test (PCT) image is eval_pct. Below is an example of how to use it:

from sketchml.classif.knn import KNN

knn = KNN(input_dimension="<insert_dimension>", k=3)

License

This project is released under the MIT License. See the LICENSE file for details.

Contact

For questions or feedback, feel free to open an issue on the GitHub repository: https://github.com/htdgv/sketchml/issues

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sketchml-0.0.3.tar.gz (13.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sketchml-0.0.3-py3-none-any.whl (18.6 kB view details)

Uploaded Python 3

File details

Details for the file sketchml-0.0.3.tar.gz.

File metadata

  • Download URL: sketchml-0.0.3.tar.gz
  • Upload date:
  • Size: 13.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.19

File hashes

Hashes for sketchml-0.0.3.tar.gz
Algorithm Hash digest
SHA256 c2b4b3ba7082b29746d39cca543c12b04fd798c211f590404c772e3365d4205c
MD5 096db99b99a4da348537b6cbcf4210d4
BLAKE2b-256 927c68c5c94cd87100b98700b49d2b8837934a2aed3cddbbc51c193c8e2102d3

See more details on using hashes here.

File details

Details for the file sketchml-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: sketchml-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 18.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.19

File hashes

Hashes for sketchml-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 22342d39a74d47e38cd1eba97e6fbd8096c3b589cc375720d70b4b4d2b4088e2
MD5 cba694ab47dd9b578a7513334e8b342d
BLAKE2b-256 6eb1a8227fd25c6adcd983fc9f0eebc108e30a36a897a49ba42aa0e19a4f52f8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page